Over the past 2 years, we've helped teams debug everything from prompt issues to production outages.

We kept running into the same problem: Jumping between our IDEs and our observability dashboards. So, we built an open-source MCP server that connects any OpenTelemetry backend (Grafana, Jaeger, Datadog, Dynatrace, Traceloop) to our dev environment using an MCP.

While there are many MCP servers built for specific providers (like Datadog’s - https://docs.datadoghq.com/bits_ai/mcp_server), they’re closed source (so we can’t easily extend them), and they’re locked to a single platform, so organizations that leverage multiple platforms, where data is scattered in between them, can’t really use them.

We’re adding support for more providers every day - feel free to contribute your own.

We would love your feedback and opinions - feel free to connect it to Claude or ChatGPT and try to investigate your own production data. What do you think about the set of tools that we currently expose? Do you think we should expose more or others?

Github: https://github.com/traceloop/opentelemetry-mcp-server